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Happy to share STORIES out now on Nature Methods STORIES learns cell fate landscapes from spatial tramscripromics data profiled at several time points, thus allowing prediction of future cell states. Led by Geert-Jan Huizing and Jules Samaran www.nature.com/articles/s41... @pasteur.fr
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By learning a differentiation potential using an optimal transport-based approach, STORIES models and infers cell fate trajectories using spatiotemporal omics data.
www.nature.com
STORIES: learning cell fate landscapes from spatial transcriptomics using optimal transport - Nature Methods
Laura Cantini